In the present paper we have used multichannel predictive filters of Wiener-Levinson (WL) type to deconvolve surface and internal multiples and peg-legs. The WL multichannel filters are obtained as a solution for block-Toeplitz systems of normal equations. These systems are formed with coefficients of auto and cross-correlations of a set of seismic traces. The obtained filters can explore in a more effective way the in-time and spatial redundancy of information that exist in the seismograms.To place the seismic data in a more appropriate way to be deconvolved we have applied the Multiple Moveout (MMO) transform. By forming panels of common-offset the WL multichannel filters were applied. This multichannel predictive deconvolution (MPD) approach was tested using synthetic and marine seismic data. Numerical examples using marine seismic data from the Gulf of Mexico illustrate the performance of the method. The results have been quite satisfactory, thus demonstrating that the method is robust and effective to remove the multiple and peg-leg reflections.
Seismic deconvolution; Multi-channel Wiener-Levinson's filters; Block-Toeplitz systems
